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• MARG Sensor Based Position Estimation for Periodic Movements

  Balázs Nagy

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  151

  The research examined the fusion of signals from magnetometer, gyroscope and acceleration sensors (MARG sensor). The focus of the article is the sensor fusion by supervised learning, which is an estimate of the situation based on the parallel processing of different types of measured data in the case of periodic movements. The applicability of the learning algorithms was examined through a practical example of a pendulum.

• Hopping Rover Navigation Method for Rugged Environments

  1-6.

  Gabor Kovacs

  Yasuharu Kunii

  Hideki Hashimoto

  Views:

  314

  In this paper a navigation method is presented for space exploration robots using hopping motion in environments with large elevation differences. A monocular camera system is used to reconstruct the flight trajectory and environment around the robot using Structure from Motion while traveling. The created environmental point cloud is projected to 2D to create a variable resolution image and image processing is used to find the most suitable position for the next landing based on normals with the help of gradient maps and error estimation. The method is evaluated in a simulation environment against the previously used protrusion based method to show that the proposed system can extend the operation of the robot to terrains with large elevation differences while still successfully avoid obstacles and dangerous areas.